code: def __init__(
      self,
      predict_scores_for_all_classes,
      predict_prefix,
      target_column_class_labels=None,
  ):
      super().__init__()
      self.predict_scores_for_all_classes = (
          predict_scores_for_all_classes
      )
      self.predict_prefix = predict_prefix
      self.target_column_class_labels = target_column_class_labels
  
file_path: mlflow/mlflow/recipes/utils/wrapped_recipe_model.py
imports: from typing import Any, Dict, Optional
  import numpy
  import pandas
  import mlflow
  from mlflow.pyfunc import PythonModel
label_desc: Use image node_id 1 to create a new WrappedRecipeModel object from inherited base classes: PythonModel with example: obj = WrappedRecipeModel(predict_scores_for_all_classes, predict_prefix, target_column_class_labels)